Welcome to the Truth Effect Database (TED) — a large, open-source repository dedicated to research on the illusory truth effect. TED currently contains: 50+ Studies, 10.000+ Participants, 500.000+ Trials
You can find more information on TED at its website: https://slesche.github.io/ted-site/
The database contains multiple tables, each dedicated to storing information of a particular aspect of truth effect research. For example, the study_table contains information on the studies published, such as the number of participants. The procedure_table contains important information on the procedure of the experiment, such as the delay between exposure and judgment phase. And the observation_table contains the raw data. You can find out more information on all available variables here: https://slesche.github.io/ted-site/get-started.html
We welcome new submissions of published and unpublished data! To guide you through the submission process, we have prepared a website:
https://slesche.github.io/truth-effect-database/
Feel free to reach out to us with any additional questions!
The Truth Effect Database (TED) is an open resource built for researchers investigating the illusory truth effect. We place no restrictions on usage — feel free to explore, analyze, and publish with it.
Please remember: 🔔 All studies used in your final dataset must be cited individually.
To work with TED, download ted.db from this repository: Link
You can then use any SQL tool to interact with the database.
In order to enable all users to interact with TED, we have built an R-package to aid extraction from the database: acdcquery
This package provides functions to connect with the database, define filter arguments, and extract data from TED:
library(acdcquery)
conn <- connect_to_db("path/to/ted.db")
arguments <- list() %>% add_argument(
conn = conn,
variable = "publication_id", # You can use any variable name from TED, no need to specify its table
operator = "greater",
values = 0
) %>%
add_argument( # You can chain together multiple arguments
conn = conn,
variable = "phase", # You can use any variable name from TED, no need to specify its table
operator = "equal",
values = "test"
)
procedure_results <- query_db(
conn = conn,
arguments = arguments,
target_vars = c("default", "publication_id"), # "default" will automatically return all vars in "target_table"
target_table = "procedure_table"
)
trial_results <- query_db(
conn = conn,
arguments = arguments,
target_vars = c("default", "phase"), # You can add any variable from any table to be added to the result
target_table = "observation_table"
)
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